{"place":"Berlin, Heidelberg","author":[{"orcid":"0000-0002-9788-8282","first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike","id":"100740"},{"first_name":"Tobias","full_name":"Wagner, Tobias","last_name":"Wagner"},{"last_name":"Brockhoff","full_name":"Brockhoff, Dimo","first_name":"Dimo"}],"year":"2013","citation":{"apa":"Trautmann, H., Wagner, T., & Brockhoff, D. (2013). R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. In G. Nicosia & P. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 70–74). Springer Berlin Heidelberg.","bibtex":"@inproceedings{Trautmann_Wagner_Brockhoff_2013, place={Berlin, Heidelberg}, title={R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection}, booktitle={Learning and Intelligent Optimization}, publisher={Springer Berlin Heidelberg}, author={Trautmann, Heike and Wagner, Tobias and Brockhoff, Dimo}, editor={Nicosia, Giuseppe and Pardalos, Panos}, year={2013}, pages={70–74} }","mla":"Trautmann, Heike, et al. “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.” Learning and Intelligent Optimization, edited by Giuseppe Nicosia and Panos Pardalos, Springer Berlin Heidelberg, 2013, pp. 70–74.","ama":"Trautmann H, Wagner T, Brockhoff D. R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. In: Nicosia G, Pardalos P, eds. Learning and Intelligent Optimization. Springer Berlin Heidelberg; 2013:70–74.","chicago":"Trautmann, Heike, Tobias Wagner, and Dimo Brockhoff. “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.” In Learning and Intelligent Optimization, edited by Giuseppe Nicosia and Panos Pardalos, 70–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.","ieee":"H. Trautmann, T. Wagner, and D. Brockhoff, “R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection,” in Learning and Intelligent Optimization, 2013, pp. 70–74.","short":"H. Trautmann, T. Wagner, D. Brockhoff, in: G. Nicosia, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 70–74."},"_id":"46392","publication_identifier":{"isbn":["978-3-642-44973-4"]},"language":[{"iso":"eng"}],"publisher":"Springer Berlin Heidelberg","type":"conference","page":"70–74","user_id":"15504","date_created":"2023-08-04T15:47:00Z","editor":[{"first_name":"Giuseppe","last_name":"Nicosia","full_name":"Nicosia, Giuseppe"},{"first_name":"Panos","full_name":"Pardalos, Panos","last_name":"Pardalos"}],"abstract":[{"text":"An indicator-based evolutionary multiobjective optimization algorithm (EMOA) is introduced which incorporates the contribution to the unary R2-indicator as the secondary selection criterion. First experiments indicate that the R2-EMOA accurately approximates the Pareto front of the considered continuous multiobjective optimization problems. Furthermore, decision makers’ preferences can be included by adjusting the weight vector distributions of the indicator which results in a focused search behavior.","lang":"eng"}],"status":"public","publication":"Learning and Intelligent Optimization","date_updated":"2023-10-16T13:47:41Z","department":[{"_id":"34"},{"_id":"819"}],"title":"R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection"}